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tensorblock/Undi95_U-Amethyst-20B-GGUF
Undi95_U-Amethyst-20B-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
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Downloads · 30 days
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2% of all-time downloads
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.gguf7.4 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for Undi95/U-Amethyst-20B.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| U-Amethyst-20B-Q2_K.gguf | Q2_K | 7.420 GB | smallest, significant quality loss - not recommended for most purposes |
| U-Amethyst-20B-Q3_K_S.gguf | Q3_K_S | 8.658 GB | very small, high quality loss |
| U-Amethyst-20B-Q3_K_M.gguf | Q3_K_M | 9.706 GB | very small, high quality loss |
| U-Amethyst-20B-Q3_K_L.gguf | Q3_K_L | 10.628 GB | small, substantial quality loss |
| U-Amethyst-20B-Q4_0.gguf | Q4_0 | 11.292 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| U-Amethyst-20B-Q4_K_S.gguf | Q4_K_S | 11.367 GB | small, greater quality loss |
| U-Amethyst-20B-Q4_K_M.gguf | Q4_K_M | 12.042 GB | medium, balanced quality - recommended |
| U-Amethyst-20B-Q5_0.gguf | Q5_0 | 13.771 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| U-Amethyst-20B-Q5_K_S.gguf | Q5_K_S | 13.771 GB | large, low quality loss - recommended |
| U-Amethyst-20B-Q5_K_M.gguf | Q5_K_M | 14.157 GB | large, very low quality loss - recommended |
| U-Amethyst-20B-Q6_K.gguf | Q6_K | 16.404 GB | very large, extremely low quality loss |
| U-Amethyst-20B-Q8_0.gguf | Q8_0 | 21.247 GB | very large, extremely low quality loss - not recommended |
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/Undi95_U-Amethyst-20B-GGUF --include "U-Amethyst-20B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/Undi95_U-Amethyst-20B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'